-Monday 15:25-17:05
-Friday 15:25-17:05
Oct. 3(Fri) Hafizh, "Zero-shot Generalist Graph Anomaly Detection w/ Unified Neighborhood Prompts (IJCAI 2025)", https://drive.google.com/file/d/1qTJQEJLTtGeHEg765twYGrxv784SUgoY/view?usp=sharing
Oct. 6(Mon) Kikuzhi, "Inductive Representation Learning in Temporal Netoworks via Causal Anonymous Walks (ICLR 2021)", https://drive.google.com/file/d/1goD9qr0rPptOBHjfECXhanR1nt0byuMT/view?usp=sharing
Oct. 10(Fri) Hosomi, "Class Distribution-based Inference for Robust Graph Learning under Global Feature Corruption", https://drive.google.com/file/d/1VlfkrPF5gVRP1CcW585mKLCdv7M8vFN0/view?usp=sharing
Oct. 16(Thu) Ho, "Commute Graph Neural Networks (ICML 2025)", https://drive.google.com/file/d/1yjB2eFd1UB_uJIJrVxdtYSO_RZniGSmK/view?usp=sharing
Oct. 16(Thu) Kim, "Inductive Counterfactual Explanations for Graph Classification Using Reinforcement Learning", https://drive.google.com/file/d/1Rs4QEk6eJxBvbqsFoISH41fJpgIuL7RB/view?usp=sharing
Oct. 17(Fri) Kaneko, "Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System", https://drive.google.com/file/d/1qTJQEJLTtGeHEg765twYGrxv784SUgoY/view?usp=sharing
Oct. 17(Fri) Nakano, "Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis (AAAI 2023)", https://drive.google.com/file/d/1CA1odlefuUDkxb7Qa3SfQwiEtEQpmg-R/view?usp=sharing